scholarly journals Microalbuminuria in Patients with Diabetes Mellitus: Prevalence and Associated Risk factors Title of your

2017 ◽  
Vol 2 (2) ◽  
pp. 155-159
Author(s):  
Zhian S. Ramzi ◽  
Mahfoodh A. Sulaiman
Keyword(s):  
Risk Factors ◽  
Diabetic Nephropathy ◽  
Glycemic Control ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Renal Diseases ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
And Gender ◽  
Associated Risk Factors

Microalbuminuria is the most leading cause for cardiovascular disease, diabetic nephropathy, end stage renal diseases, and death among diabetic patients. The study carried out                                                                                       to find out the prevalence of microalbuminuria in a sample of Sulaimani diabetics and to determine its relation to different associated risk factors. The first part of study was a cross-sectional study conducted through examination of records of diabetic patients registered in Sulaimani Diabetic Center from June 2010 to May 2012. The second part was a case- control study that conducted in the same center, including 50 cases of diabetics with positive microalbuminuria, and 50 controls with negative one, that were registered in the same center and matched by age and gender. A specially designed questionnaire was used by researcher to collect information from the records. SPSS version 21.0 was used for data analysis. Males accounts for half of cases and controls, highest proportion of sample was found among age group (60-69) years about 34%. The prevalence of microalbuminuria was 29%. The study showed a statistical significant association of microalbuminuria with obesity, smoking, hypertension, retinopathy, ischemic heart disease, poor glycemic control, and dyslipidemia.  In conclusion moderate prevalence of microalbuminuria was found among diabetic patients, the prevalence was more common in poor glycemic control, and hypertensive diabetics. There was significant relation between microalbuminuria and diabetic nephropathy.

scholarly journals Identifying the Risk Factors and the Prevalence of Poor Glycemic Control among Diabetic Outpatients in a Rural Region in Saudi Arabia

2021 ◽  
pp. 15-23
Author(s):  
Ziyad S. Almalki ◽  
Nehad Jaser Ahmed ◽  
Abdullah K. Alahmari ◽  
Ahmed M. Alshehri ◽  
Sheikah Abdullah Alyahya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Saudi Arabia ◽  
Glycemic Control ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Rural Region ◽  
Increased Risk ◽  
Hba1c Levels

Aim: This cross-sectional study aimed to assess the prevalence of poor glycemic control and risk factors associated with it among diabetic patients in the central rural region of Saudi Arabia. Methods: The study included a review of diabetic patients’ medical record in King Khaled Hospital in Al-Kharj from the beginning of January 2019 to the end of June 2019. Poor glycemic control was defined as the current use of diabetic-lowering medication associated with HbA1c levels ≥7%. Multivariate analysis was done to identify the associated factors of poor glycemic control. Results: Of 1,010 consecutive outpatients’ diabetic patients were involved in the study sample, poor glycemic control presented in 496 (49.1%). Individuals who were at risk to have poor glycemic control those between 45 and 65 years with odds ratio (OR) of 1.927 (95% CI: 1.143–3.248), obese 1.496 (95% CI: 1.085–2.063) and diagnosed with asthma 2.062 (95% CI: 1.637–3.504). Conclusion: The extent of poor glycemic control in the study sample was found high. Age, obesity, and having asthma are the most important factors of increased risk of poor glycemic control. Improving glycemic control would need rigorous efforts by addressing these factors.

scholarly journals Rate of glycemic control and associated factors among type two diabetes mellitus patients in Ethiopia: A cross sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251506
Author(s):  
Shambel Nigussie ◽  
Nigussie Birhan ◽  
Firehiwot Amare ◽  
Getnet Mengistu ◽  
Fuad Adem ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Objective To assess the rate of glycemic control and associated factors among type 2 diabetes mellitus patients at Dilchora Referral Hospital, Dire Dawa, Eastern Ethiopia. Methods A cross-sectional study was conducted from 13 May to 16 August 2019. Type 2 diabetic patients on follow up at Dilchora Referral Hospital who fulfilled the inclusion criteria of the study were included. Systematic random sampling was used to select study participants. Data was collected by a face-to-face interview and review of medical records. The primary outcome was the level of blood glucose during three consecutive visits. Poor glycemic control was defined as a blood sugar level of more than 154 mg/dL based on the average of measurements from three consecutive visits. Multivariate logistic regression analysis was used to identify determinants of glycemic control. Result A total of 394 participants responded to the interview and were included in the final analysis. The overall prevalence of poor glycemic control was 45.2% (95%CI: 40.6%-50.0%). Patients who were on oral anti-diabetic drug plus insulin had more than two times greater chance of poor glycemic control than patients on oral anti-diabetic drug alone: 2.177(95%CI:1.10–4.29). The odds of poor glycemic control in patients who did not understand the pharmacist’s instructions was two times higher than patients with good understanding of instructions 1.86(95%CI: 1.10–3.13). Patients who had poor level of practice were found to have poor glycemic control: 1.69(95% CI: 1.13–2.55). Conclusion The overall prevalence of poor glycemic control was high among type 2 diabetes patients. Oral anti-diabetic drugs in combination with insulin, lack of understanding of pharmacist’s advice, and poor practice of diabetic patients were significant factors of poor glycemic control. Pharmacists should reassure the understanding of patients before discharge during counseling. Optimization of the dose of antidiabetic medications and combination of oral hypoglycemic agents should be considered.

Glycemic control and its associated factors among patients with diabetes mellitus: a cross-sectional study in Bangladesh

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasan Mahmud Reza ◽  
Towhid Hasan ◽  
Marjia Sultana ◽  
Md. Omar Faruque
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Control ◽  
Glycosylated Hemoglobin ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Content Type

Purpose Diabetes mellitus is becoming a growing concern worldwide. Hence, the purpose of this study is to assess the magnitude of poor glycemic control and to identify the determinants of poor glycemic control among diabetic patients attending a tertiary care hospital in Bangladesh. Design/methodology/approach This cross-sectional study was conducted among 732 diabetes patients seeking care at the outpatient department of Bangladesh Institute of Health Sciences Hospital, Dhaka, Bangladesh. Information, including glycemic status, was collected from patients’ medical records using a structured questionnaire. Findings About 87.6% of the patients were found to have poor glycemic control (glycosylated hemoglobin = 7%). Variables that were significant in bivariate analysis were put into a multivariate model where the factors associated with poor glycemic control were patients aged 41–60 years (odds ratio (OR)=2.26; 95% confidence interval (CI): 1.19–4.32, p = 0.013), suffering from diabetes for > 7 years (OR = 1.84; 95% CI: 1.12–2.99, p = 0.015), using insulin (OR = 2.34; 95% CI: 1.23–4.47; p = 0.010) or diet alone (OR = 0.20; 95% CI: 0.05–0.80, p = 0.023) as a type of diabetes treatment and proper use of medicine (OR = 0.37; 95% CI: 0.17–0.82, p = 0.015). Originality/value The high prevalence of poor glycemic control among diabetic patients is evident; therefore, strategic management and proper attention focusing on the predictors of poor glycemic control are necessary to reduce the long-term complications of diabetes.

Frequency of Renal Diseases in Diabetic Patients

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Misbah Arshad ◽  
Mamoona Ashfaq ◽  
Zainab Sharmeen ◽  
Zargham Mazhar ◽  
Kashifa Ehsan
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Nephropathy ◽  
Kidney Disease ◽  
Renal Disease ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Renal Diseases ◽  
Diabetic Patients ◽  
Protein Loss ◽  
Cross Sectional

Diabetic nephropathy, also known as diabetic kidney disease is the chronic loss of kidneyfunction occurring in those with diabetes mellitus. Diabetic nephropathy is one of the leading causes ofchronic kidney disease (CKD) and end-stage renal disease (ESRD) globally. Protein loss in the urine due todamage to the glomeruli may become massive, and cause a low serum albumin with resulting generalizedbody swelling (edema) and result in the nephrotic syndrome. Objective: The aim of this study was todetermine the frequency of renal disease in diabetic patients and its complications in Pakistan.Methods: A cross sectional study was conducted at Renal and Diabetic Departments of the Sir GangaRam Hospital, Lahore, over a period of 3 months, after obtaining the ethical approval from The Universityof Lahore. A total number of 100 Diabetic patients were selected through non probability convenientsampling technique. Patients of both sexes and all age groups were included. Results: In this study 60%were male and 40% were female. About 41% diabetic patients were 1-6 month of age, 42% were 1-5 yearsold and 1% of 18-23 years old who had renal diseases while 9% patients were without any renal disease.whereas the prevalence of diabetes is more in infants than others which is 35%. But there was notsignificant association between onset of renal diseases with the onset of diabetes mellitus with p-value0.24.Conclusions: Results of current study showed that diabetes mellitus effecting individuals of all agesequally but there was not significant association between diabetes and renal diseases.

scholarly journals Prevalence of Complications of Diabetes and Risk Factors Among Patients with Diabetes in the Diabetes Clinic in Southeast of Iran

2021 ◽  
Author(s):  
Hamed Taheri ◽  
Roya Rafaiee ◽  
Raheleh Rafaiee
Keyword(s):  
Risk Factors ◽  
Glycemic Control ◽  
Microvascular Complications ◽  
Clinical Information ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
P Value ◽  
Diabetes Clinic ◽  
Cross Sectional ◽  
The Mean

Objective: Academic health services play an important role in the prevention and control of diabetes mellitus (DM) in Iran. This study aimed at determining the prevalence of DM-related complications and the associated risk factors among patients with DM in a university-affiliated outpatient diabetes clinic of a referral hospital in Southeast of Iran, Zahedan. Materials and Methods: This cross-sectional study was conducted from January to April 2019 in an academic diabetes clinic. A total of 334 patients with DM, whose characteristics (age, sex, family history of DM, and substance abuse), as well as laboratory and clinical information, were recorded in the baseline forms, were included. The relationship between variables were assessed by Pearson’s correlation coefficient at P-value< 0.05 and using SPSS version 20.0. Results: The mean age of the participants was 54.27 (±11.57) years. In these patients, DM type 2 was estimated at 99.1%, and the mean duration of the disease was 8.98 (±6.93) years. The findings showed that 77.2% of the patients had poor glycemic control. Also, 85.4% of the patients had fasting blood sugar (FBS) level >126 mg/dL. There was a significant relationship between insulin-dependent therapy and drug abuse (P-value <0.001). The prevalence of hyperlipidemia (68.9%), hypertension (50.6%), retinopathy (29.6%), nephropathy (11.7%), and neuropathy (12.3%) was also determined. Conclusion: The majority of the patients (77.2%) in this study had poor glycemic control, and 69.9% of them suffered from microvascular complications, macrovascular complications, or both. Therefore, frequent visits accompanied by patient education could help to better diabetes control

scholarly journals Diabetes-related knowledge in diabetic haemodialysis patients: a cross-sectional study from Palestine

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Mohammad K. Hemadneh ◽  
Sohaib T. Khatib ◽  
Samer A. Hasan ◽  
Ihab N. Tahboub ◽  
Emad Khazneh ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Glycaemic Control ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Diabetes Knowledge ◽  
Sectional Study ◽  
Cross Sectional ◽  
Maintenance Haemodialysis ◽  
Hba1c Levels

Abstract Background Diabetes mellitus is the leading cause of end-stage renal disease. Monitoring and controlling normal blood sugar levels play a critical role in slowing the progression of micro- and macrovascular complications of diabetes. This study was conducted to measure glycaemic control and diabetes-related knowledge in diabetic patients on maintenance haemodialysis and to assess any relationship between these two variables. Methods This cross-sectional study was conducted at six dialysis centres in the north of the West Bank. Blood samples were collected to measure glycated haemoglobin (HbA1c) levels, while the Michigan Diabetic Knowledge Test (MDKT) was employed as a measure tool of diabetes-related knowledge. Patients were also asked to fill in a questionnaire in order to determine their sociodemographic characteristics. Finally, univariate analyses were used to measure the associations between the clinical and sociodemographic data, and diabetes knowledge and glycaemic control. Results A total of 147 haemodialysis patients with diabetes were included in this study. The mean age of the cohort was 60.12 (SD = 10.28). Males accounted for 51.7% of the cohort. The HbA1c levels (%) and MDKT scores were 6.89 ± 1.72 and 9.19 ± 1.7 (mean ± SD), respectively. 36.1% of the patients had poor glycemic control. The study showed that residency and household income were associated with diabetes knowledge (P < 0.05). However, the study did not show a significant association between diabetes-related knowledge and glycaemic control overall, nor did it show a significant association between the clinical and sociodemographic factors and glycaemic control (P > 0.05). Conclusions This study showed that patients living in refugee camps as well as those with low income had low diabetes-related knowledge and needed extra care. This study also revealed that a relatively high proportion of diabetic patients on maintenance haemodialysis suffered from poor glycemic control. Here, we recommend to put greater emphasis on better diabetes-related knowledge as a means to achieve better diabetes care with improved glycemic control for all haemodialysis patients

scholarly journals A cross-sectional study on the telemedicine usage and glycemic status of diabetic patients during the COVID-19 pandemic

2021 ◽  
Vol 30 (3) ◽  
pp. 215-20
Author(s):  
Novi Sulistia Wati ◽  
Pokkate Wongsasuluk ◽  
Pradana Soewondo
Keyword(s):  
Glycemic Control ◽  
Healthy Lifestyle ◽  
Blood Glucose Control ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Glycemic Status ◽  
Good Glycemic Control ◽  
Cross Sectional

BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic disrupts selfmanagement in diabetic patients in Indonesia. This study aimed to determine the telemedicine usage and factors contributing to glycemic control in type 2 diabetes mellitus (T2DM) patients during the pandemic. METHODS A cross-sectional study was conducted in T2DM patients aged 25–54 years. The questionnaire included general characteristics, diabetes conditions, consultation factors, and self-care management. Glycemic status was evaluated using glycated hemoglobin (HbA1c) levels, which was categorized into poor (HbA1c≥7%) and good glycemic control (HbA1c<7%). Data were analyzed using chi-square and binary logistic regression. RESULTS Of 264 patients, only 19.2% used telemedicine and 60.2% had poor glycemic control during the pandemic. Overweight or obesity (odds ratio [OR] = 5.740 [95% confidence interval [CI] = 2.554–12.899]; p<0.001), insulin injection (OR = 3.083 [95% CI = 1.238–7.677]; p = 0.016), and frequent fried food consumption (OR = 5.204 [95% CI = 1.631–16.606]; p = 0.005) were the factors contributing to poor glycemic control. The risk is lower if exercised regularly (OR = 0.036 [95% CI = 0.007–0.195]; p<0.001) and consulted with a doctor using telemedicine (OR = 0.193 [95% CI = 0.044–0.846]; p = 0.029) or in-person visits (OR = 0.065 [95% CI = 0.016–0.260]; p<0.001). CONCLUSIONS Glycemic control was not optimal during the COVID-19 pandemic. Therefore, keeping a healthy lifestyle and staying connected with a doctor are important to ensure optimal blood glucose control and reduce the risk of diabetesrelated complications.

scholarly journals Magnitude of spontaneous preterm birth and its associated factors among preterm birth in NICU wards in Asella Teaching and Referral Hospital, Asella, Oromia, Ethiopia

2021 ◽  
Vol 49 (8) ◽  
pp. 030006052110346
Author(s):  
Techane Sisay Tuji ◽  
Addisu Dabi Wake ◽  
Gezahegn Badeg Adere ◽  
Aselefu Beka Wedajo ◽  
Batu Dekeba Obole ◽  
...  
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Healthcare Providers ◽  
Preterm Births ◽  
Cross Sectional Study ◽  
Spontaneous Preterm Birth ◽  
Related Factors ◽  
Cross Sectional ◽  
Bivariate Logistic Regression ◽  
Associated Risk Factors

Objective To assess the prevalence of spontaneous preterm births and to identify the associated risk factors. Methods This single-centre cross-sectional study enrolled women that experienced a preterm birth as registered on the neonatal log-book between 30 December 2019 and 30 December 2020. A pre-tested structured checklist was used to collect data (sociodemographic characteristics; obstetric-related factors; medical history; and pregnancy-related factors). Bivariate logistic regression analyses were applied to identify factors associated with spontaneous preterm birth. A multivariate model identified significant independent risk factors. Results A total of 310 patients participated in the study. The prevalence of spontaneous preterm birth in this population was 67.1% (208 of 310; 95% confidence interval [CI] 61.5, 71.9). Patients without a partner (adjusted odds ratio [AOR] = 1.470, 95% CI 1.23, 4.42), patients residing in a rural area (AOR = 2.51, 95% CI 1.123, 5.513) and those with a history of PIH during their current pregnancy (AOR = 0.104, 95% CI 0.053, 0.014) were significantly more likely to have a spontaneous preterm birth. Conclusion The prevalence of spontaneous preterm birth in in this study was high. Healthcare providers and all stakeholders should focus on screening pregnant women at the risk of spontaneous preterm birth.

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